Collaborative probabilistic labels for face recognition from single sample per person

作者：

Highlights：

• Constructed probabilistic graph propagates discrimination from generic to gallery.

• The adaptive variation type for a given sample can be automatically estimated.

• CPL incorporates a novel probabilistic label reconstruction based.

摘要

•Constructed probabilistic graph propagates discrimination from generic to gallery.•The adaptive variation type for a given sample can be automatically estimated.•CPL incorporates a novel probabilistic label reconstruction based.

论文关键词：Face recognition,Collaborative representation,Label propagation,Probabilistic graph,Single training sample per person

论文评审过程：Received 6 November 2015, Revised 17 May 2016, Accepted 9 August 2016, Available online 24 August 2016, Version of Record 14 September 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.08.007